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AgentRelay

npm version license

AgentRelay helps you switch coding agents without losing momentum.

It reads your current AI session, captures real project state (including git context), and generates a high-quality continuation prompt so the next agent can continue from where you actually stopped.

Problem

When you switch agents mid-task, context usually breaks.

  • Important decisions are scattered in chat history
  • Errors and failed attempts get repeated
  • The next agent starts from an incomplete picture

Solution

AgentRelay builds a clean handoff prompt from:

  • Session messages
  • Tool calls and outputs
  • Open errors and failed approaches
  • Current git state and changed files

Result: faster context transfer, less repetition, better continuity.

Supported Sources

  • Claude Code
  • Codex
  • OpenCode

Supported Targets

  • generic
  • claude
  • codex
  • cursor
  • chatgpt

Features

  • Smart latest-session detection for the current project
  • Focused context extraction with noise reduction
  • Error-aware prompt generation
  • Git-aware summaries (status, diffs, untracked files)
  • Optional prompt refinement via OpenRouter
  • Clipboard copy on macOS, Linux, and Windows
  • Built-in diagnostics with doctor command
  • Session browsing with sessions command

Install

Run once with npx:

npx @rajdevxd/agentrelay

Install globally:

npm i -g agentrelay

Quick Start

cd your-project
agentrelay

You will:

  1. Pick source agent (if not provided)
  2. Parse latest session for current repo
  3. Capture git/project context
  4. Generate continuation prompt
  5. Copy output to clipboard

Usage

# Basic
agentrelay

# Choose source
agentrelay --source claude
agentrelay --source codex
agentrelay --source opencode

# Choose target style
agentrelay --source claude --target codex

# Use exact session
agentrelay --source codex --session <id-or-path>

# Save output to file
agentrelay --output ./handoff.md

# Refine with OpenRouter
agentrelay --refine

# Pick preserved context start interactively
agentrelay --pick-user

# Start preserved context from nth user prompt
agentrelay --from-user 2

# Diagnostics
agentrelay doctor --source claude

# List sessions
agentrelay sessions --source codex --limit 5

Commands

  • continue (default): generate handoff prompt
  • doctor: validate environment, source availability, git, clipboard, and API key state
  • sessions: list recent sessions for current project

Flags

Flag Description
--source Source agent: claude, codex, opencode
--target Target format: generic, claude, codex, cursor, chatgpt
--session <id|path> Use specific session
--pick-user Pick starting user message interactively
--from-user Start preserved context from nth user message
--output, -o Write final prompt to file
--refine Refine prompt with provider
--provider Refinement provider (default: openrouter)
--model Override model
--api-key Override provider API key
--limit, -n Session rows limit for sessions command
--help, -h Show help
--version, -v Show version

LLM Refinement

Refinement is optional.

  • Provider: openrouter
  • API key resolution order: CLI flag, env variable, local config

Environment variable:

OPENROUTER_API_KEY=your_key_here

Local config file path:

~/.agentrelay.json

Session Storage Paths

Source Path Format
Claude Code ~/.claude/projects//*.jsonl JSONL
Codex ~/.codex/sessions////*.jsonl JSONL
OpenCode ~/.local/share/opencode/opencode.db SQLite

Requirements

  • Node.js 18+
  • One supported source agent with existing session data
  • sqlite3 CLI only for OpenCode source
  • Git repository recommended for best code-state capture

Troubleshooting

  • No sessions found:
    • Run source agent once in the current project
    • Run agentrelay sessions --source
    • Run agentrelay doctor --source
  • OpenCode parsing issues:
    • Ensure sqlite3 CLI is available
  • Refinement failed:
    • Check OPENROUTER_API_KEY
    • Retry without --refine to use raw mode

Maintainer

License

MIT

About

AgentRelay helps you switch coding agents without losing momentum. It reads your current AI session, captures real project state (including git context), and generates a high-quality continuation prompt so the next agent can continue from where you actually stopped

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